AI Engineering Tech Lead – Hands-on

Description

You'll design the architecture that lets AI run compliance at scale.

Sedric is the AI compliance platform for financial services. Our agentic AI automates oversight across customer communications and marketing - real-time guardrails on calls, pre-approval review on every marketing asset, and post-publication monitoring across partners and channels. Because every customer gets a dedicated compliance model, accuracy goes up, false positives go down, and compliance teams move faster without taking on more risk.

AI isn’t a feature at Sedric - it’s the product. Every agent, LLM flow, and retrieval pipeline that runs a customer’s compliance program runs on backend systems someone has to design, build, and keep fast, accurate, and cost-efficient at scale.

We’re looking for a hands-on AI engineer who designs those systems and writes the code. You’ll own the architecture of our AI backend end to end, ship it to production, monitor how it performs with real customers, and raise the bar for the engineers around you through code reviews, design reviews, and mentoring.

The mission?

We're at an inflection point. Enterprise financial services clients are signing on, and they need more than a product - they need a platform. That means a unified LLM strategy, an architecture that scales, and an R&D org that moves with the same urgency as the business.

This role reports to the AI team Dev Team Lead and is based in Tel Aviv (hybrid model).

This is a hands-on engineering role. It’s not a research position and not a people-management role. You’ll spend most of your time designing and building production systems.

What You’ll Own

You'll own Sedric's AI reference architecture end to end - the patterns, standards, and platform capabilities that every AI initiative across engineering builds on. You'll lead architecture reviews, set the technology roadmap, and make the call on what we adopt, pilot, or retire.

• Design and build the backend architecture for Sedric’s AI agents, LLM pipelines, and retrieval systems, and write a large share of the production code yourself
• Take AI capabilities from prototype to production in a multi-tenant SaaS environment
• Optimize for scale and cost: model selection, prompt and token efficiency, caching, batching, latency, and infrastructure spend
• Build monitoring and evaluation for AI quality in production (accuracy, false positives, drift, cost per customer) and act on what it shows
• Set engineering standards for AI development and mentor engineers through pairing, code reviews, and design reviews
• Bring new AI techniques into the product when they solve a real customer problem, and prove it in production

Requirements

You're a fit if…

• You have 5+ years of ML/AI architecture experience in a SaaS company
• 3+ Backend development experience
• You bring both the technical depth and the leadership range this role demands.
• You've built agentic systems with tool use, planning, and multi-step reasoning in production, not just in a notebook
• You've set up AI governance and evaluation harnesses from scratch
• You have proven, hands-on experience with AI in production systems
• You can take a project from concept to shipped and interface with stakeholders the whole way
• You hold a relevant degree; an advanced degree in CS, ML, Statistics, or a related field is a plus
• You're comfortable in front of customers and executives, translating technical tradeoffs into business terms

You're probably not a fit if…

• You want to execute against someone else's architecture, not design your own
• You'd rather avoid customer or stakeholder conversations than lead them
• You think about the technology and skip the business context it lives in
• You need long runway before shipping - this role moves fast and mixes design with execution
• You want a playbook handed to you rather than writing the first one

What Success Looks Like

Your first 90 days goals:

• Day 30 - You understand the AI architecture of the platform end to end - the systems, the constraints, the decisions already made.
• Day 60 - You've shipped LLM-driven improvements and optimized existing flows for latency and reliability.
• Day 90 - You own AI design across the platform - teams come to you before they build, not after.

Compensation & Benefits

• Competitive salary aligned with industry standards
• Meaningful equity in a high-growth compliance AI company
• Direct access to leadership - no bureaucracy between you and impact
• Flexible, output-first culture - we care what you ship, not when you log on
• Work on problems that matter in an industry that’s ready to change

How to Apply & Important Notice

Do you think that this is for you? apply directly or send your resume to [email protected].

Equal Opportunity Employment Sedric.Ai is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or protected veteran status.

AI & Recording Disclosure: To streamline our hiring process and ensure a thorough review, Sedric.Ai utilizes AI-powered tools to evaluate resumes, and our interviews may be recorded or assisted by an AI note-taker. By submitting your application, you acknowledge and consent to the use of these technologies during the recruitment process. If you prefer to opt out of AI resume screening or interview recordings, please notify our recruiting team at [Insert Contact Email/Link] to request a manual review or unrecorded interview.